公开(公告)号：US20230128485A1

公开(公告)日：2023-04-27

申请号：US17452441

申请日：2021-10-27

Applicant: SAP SE

Inventor： Rajesh Vellore Arumugam ,  Andrew Ivan Soegeng ,  Stefan Klaus Baur

IPC: G06N20/00

Abstract: Methods, systems, and computer-readable storage media for receiving IRF data sets, the IRF data sets including a set of records including inference results determined by the ML model during production use of the ML model and at least one correction to an inference result, executing incremental training of the ML model to provide an updated ML model by selectively filtering one or more records of the set of records to adjust a negative sample to positive sample proportion of a sub-set of records based on a negative sample to positive sample proportion of initial training of the ML model, for each record in the sub-set of records, determining a weight, and during incremental training, applying the weight of a respective record being in a loss function in determining an accuracy of the ML model based on the respective record, and deploying the updated ML model for production use.